Webinar AbstractThe term “big data” has arisen in recent years to describe multi-terabyte datasets. Big data certainly has its challenges, relative to scalability and data management. But it’s also useful for business intelligence purposes. In particular, the massive datasets of big data provide substantial data samples for various forms of analytics, especially advanced forms that are discovery oriented.

In a related trend, many organizations are stepping up their use of analytics, as a way of understanding a relentlessly changing business and economic environment. Whether you’re trying to discover the root cause of the latest customer churn or the hidden costs that are eroding the bottom line, you need discovery oriented analytic tools and techniques that work well with big data. That’s why big data and analytics have come together in recent years, thereby causing substantial changes in tools and best practices for analytics.

You Will Learn:

Why businesses and other organizations need analytics more than ever

Why analytics that taps into big data has become a common practice

How to select an approach to analytics from the many available

New tools, platforms and practices designed to provide analytics with big data

Datawatch provides the only platform for visual analytics to leverage any data at any speed – delivering valuable insights for improving business. The unique ability to acquire, prepare, and transform data from structured and multi-structured sources such as PDF and log files, as well as real-time streaming data, into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data at any speed sets Datawatch apart in the big data and visualization markets.

IBM. A TDWI PartnerIBM’s enterprise class big data platform allows users to address the full spectrum of big data business challenges and gain a competitive edge by enabling access and analysis of all data. Designed to complement your existing information infrastructure, IBM’s big data platform lets you get started quickly today and easily expand to address more complex problems tomorrow.

SAS. A TDWI PartnerBig data is now a reality: This phenomenal growth of data requires that you not only understand big data to decipher the information that counts, but also – more importantly – the possibilities of what you can do with it using big data analytics.

Teradata. A TDWI PartnerTeradata is a global leader in analytic data platforms, marketing and analytic applications, and consulting services. Teradata helps organizations collect, integrate, and analyze all of their data so they can know more about their customers and business and do more of what’s really important. With 10,000+ professionals in 77 countries, Teradata serves more than 2,500 customers, including the top companies across all major industries: consumer goods, financial services, healthcare, automotive, communications, travel, hospitality, and more. An ethical and future-focused company, Teradata is recognized by the business media and industry analysts for technological excellence, sustainability, and business value.

Treasure Data. A TDWI PartnerThe Treasure Data Service is a fully-managed, cloud-based subscription service, purpose-built for big data management and analytics. The service supports most data types, including multi-structured big data such as web logs, application logs, event, mobile and sensor data. Use our fast bulk loader or unique data acquisition technology to stream data from your servers into the Treasure Data Service in near-real-time. Data is stored in a secure, scalable cloud storage environment. To analyze, use SQL syntax within a simple, browser-based console or connect your favorite BI tool. Store everything in the cloud, or export data anytime for free.

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